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Agentic AI in identity verification focuses on validating digital agents that act on behalf of consumers, such as virtual assistants or automated checkout bots in online shopping. From a technical perspective, it requires confirming that these agents are authorized, tied to a legitimate identity, and behaving within trusted parameters, leveraging Model Context Protocol (MCP).
Integrating this capability into identity workflows ensures that only verified agents transact on a consumer’s behalf, reducing fraud risk, preventing unauthorized purchases, and enabling secure, streamlined digital commerce.
Non-ID document capture extends identity verification beyond government-issued IDs by enabling the secure intake and extraction of data from documents such as utility bills, bank statements, or tax records. From a technical perspective, it relies on OCR, document classification, and fraud detection to ensure authenticity while extracting structured data.
Adding non-ID documents introduces an additional layer for address verification, strengthens proof-of-residence checks, and helps institutions meet regulatory requirements. This enhances fraud prevention while reducing onboarding friction for legitimate customers.
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Battle-tested AI technology to detect and prevent fake identities synthetically-generated by AI.
Leverage ID documents, non-ID documents like bills and statements, or official data sources to validate an address.
Shut out fraudsters with AI-powered document detection and verification that can spot even the slightest alterations and anomalies.
Among all participating vendors, Microblink was the only provider to meet RIVR “high performing” system benchmarks across every measured accuracy metric.
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